PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-17 10:20:23.854274+00:00 (UTC)
In US/Central Time, this is 2024-04-17 05:20:23.854274-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/376c30395567b6852a6c9361afa77ce226b921db9b319500c735d41b9694a7d9.png
We are just generating a random time serie here.
../../_images/84e6514b6b809f0323f1fd3ca07977cac03dbbc90e48e606a9a54f317d573ab6.png
../../_images/b86074ad9e90ff07468c9c0563e66f1f0c905ef76715fda5ab5db74d89c350b0.png